Learning curves and long-term outcome of simulation-based thoracentesis training for medical students

<p>Abstract</p> <p>Background</p> <p>Simulation-based medical education has been widely used in medical skills training; however, the effectiveness and long-term outcome of simulation-based training in thoracentesis requires further investigation. The purpose of this study was to assess the learning curve of simulation-based thoracentesis training, study skills retention and transfer of knowledge to a clinical setting following simulation-based education intervention in thoracentesis procedures.</p> <p>Methods</p> <p>Fifty-two medical students were enrolled in this study. Each participant performed five supervised trials on the simulator. Participant's performance was assessed by performance score (PS), procedure time (PT), and participant's confidence (PC). Learning curves for each variable were generated. Long-term outcome of the training was measured by the retesting and clinical performance evaluation 6 months and 1 year, respectively, after initial training on the simulator.</p> <p>Results</p> <p>Significant improvements in PS, PT, and PC were noted among the first 3 to 4 test trials (p < 0.05). A plateau for PS, PT, and PC in the learning curves occurred in trial 4. Retesting 6 months after training yielded similar scores to trial 5 (p > 0.05). Clinical competency in thoracentesis was improved in participants who received simulation training relative to that of first year medical residents without such experience (p < 0.05).</p> <p>Conclusions</p> <p>This study demonstrates that simulation-based thoracentesis training can significantly improve an individual's performance. The saturation of learning from the simulator can be achieved after four practice sessions. Simulation-based training can assist in long-term retention of skills and can be partially transferred to clinical practice.</p

Is video‐assisted thoracoscopy a sufficient approach for mediastinal lymph node dissection to treat lung cancer after neoadjuvant therapy?

Background The role of video‐assisted thoracoscopic surgery (VATS) in mediastinal lymph node dissection (MLND) for non‐small cell lung cancer (NSCLC) following neoadjuvant therapy remains controversial. The aim of this study was to demonstrate the sufficiency of VATS by evaluating perioperative and long‐term outcomes. Methods Patients with locally advanced NSCLC and treated with radical surgery after neoadjuvant therapy were identified in our database. The thoroughness of MLND was compared by approach. Multivariable logistic regression analysis was used to evaluate predictors of sufficient MLND. Propensity score matching was performed. Kaplan–Meier and Cox proportional hazard analyses were used to assess long‐term survival. Results Of the 127 enrolled patients, 56 underwent attempted VATS and 71 underwent thoracotomy. Multivariable logistic regression analysis revealed that approach was not a predictor of sufficient MLND (odds ratio 0.81, 95% confidence interval [CI] 0.364–1.803; P = 0.606). After matching, 28 pairs of patients were selected from the two groups. There was no significant difference between the numbers of dissected lymph nodes (15 vs. 20; P = 0.191) and nodal stations (7 vs. 7; P = 0.315). Recurrence‐free (log‐rank P = 0.613) and overall survival (log‐rank P = 0.379) was similar in both groups. Multivariable Cox proportional hazards model analysis indicated that VATS was not an independent predictor of recurrence‐free (hazard ratio 0.955, 95% CI 0.415–2.198; P = 0.913) or overall survival (hazard ratio 0.841, 95% CI 0.338–2.093; P = 0.709). Conclusion Compared to thoracotomy, VATS is a sufficient approach for MLND to treat locally advanced NSCLC following neoadjuvant therapy without compromising long‐term survival

Segmentectomy and Wedge Resection for Elderly Patients with Stage I Non-Small Cell Lung Cancer: A Systematic Review and Meta-Analysis

Background: Considerable controversies exist regarding the efficacies of segmentectomy and wedge resection for elderly patients with early-stage non-small cell lung cancer (NSCLC). This systematic review and meta-analysis aimed to solve these issues. Methods: We searched the online databases PubMed, Web of Science, EMBASE, and Cochrane Library to identify eligible studies. Elderly patients were defined as ≥65 years. Early-stage NSCLC was defined as stage I based on TNM systems. The primary endpoints were survival outcomes (overall survival (OS), cancer-specific survival (CSS), and disease-free survival (DFS)) and recurrence patterns. The second endpoints were perioperative morbidities. The hazard rate (HR) and odds ratio (OR) were effect sizes. Results: Sixteen cohort studies (3140 participants) and four database studies were finally included. Segmentectomy and lobectomy showed no significant difference in OS (cohort studies HR 1.00, p = 0.98; database studies HR 1.07, p = 0.14), CSS (HR 0.91, p = 0.85), or DFS (HR 1.04, p = 0.78) in elderly patients with stage I NSCLC. In contrast, wedge resection showed inferior OS (HR 1.28, p p = 0.001) and DFS (HR 1.44, p = 0.042) compared to lobectomy. Segmentectomy also showed comparable local recurrence risk with lobectomy (OR 0.98, p = 0.98), while wedge resection showed increased risk (OR 5.46, p < 0.001). Furthermore, sublobar resections showed a decreased risk of 30/90-day mortality, pneumonia, and leak complications compared to lobectomy. Conclusion: Segmentectomy is promising when applied to elderly patients with stage I NSCLC, while wedge resection should be limited. Randomized controlled trials are warranted to validate these findings

Application of Epithelial Growth Factor Receptor-Targeted Magnetic Resonance Imaging and Near-Infrared II Dual-Modal Probe in Lung Cancer Diagnosis and Surgical Resection

There has been an increase in the use of molecular probe diagnostic techniques for lung cancer, and magnetic resonance imaging (MRI) offers specific advantages for diagnosing pulmonary carcinoma. Furthermore, advancements in near-infrared II (NIR-II) fluorescence have provided a new method for precise intraoperative tumor resection. However, few probes combine preoperative diagnosis with intraoperative imaging. This study aims to fill this research void by employing a dual-modal probe that targets the epidermal growth factor receptor for MR and NIR-II imaging, enabling the preoperative diagnosis of lung cancer using MRI and precise intraoperative tumor localization using NIR-II with a single probe. The imaging effects and targeting ability of the probe were confirmed in cell lines, mouse models, and clinical samples. The MR signal decreased within 24 h in the patient-derived xenograft mouse model. The average signal-to-background ratio of NIR-II reached 3.98 ± 0.27. The clinical sample also showed a decrease in the T2 signal using MRI, and the NIR-II optical signal-to-background ratio was 3.29. It is expected that this probe can improve the diagnostic rate of lung cancer using MRI and enable precise intraoperative tumor resection using NIR-II